Workshop on Semantic Knowledge-based Explainability of Artificial Intelligence
The workshop aims to bring together researchers, practitioners, and domain experts to exchange knowledge, address challenges, and outline future directions for developing explainable, interpretable, and transparent AI systems. It focuses on advancing Explainable Artificial Intelligence (XAI) by incorporating knowledge and semantics as core components. Contributions will address “demystifying the black-box” nature of AI and tailoring explanations to diverse user expertise levels, supporting equitable and fair decision-making for long-term sustainability. The workshop seeks to overcome the challenges of embedding semantic abstractions into intelligent information systems.